Summary

This is the report so far. It is only tables and maps that are an information overload mess, but provide some information on the census tracts. You can search each data table by those numbers and it will show that data. Please ignore any spelling/grammar errors, I haven’t proof read any of this. There’s still a couple sections I need to include before I start building the narative, highlighting key points, and testing for statistical significance between things (a lot of that depends on the direction we want to go with this, but I have ideas, and will give you all the options during the 2/28/2020 meeting). I know for sure poverty, SNAP, and children characterists are things I want to breakdown even further.

Age Demographics

Map of Median Age

Racial Demographics

Percent White Population Map

Social Characteristics

## Household Characteristics

## Education Information

Residence 1 Year Ago

Birthplace Information

Primary Language Spoken

Computer and Internet Access

Economic Characteristics

Worker Transportation Details

Income and Benefits

Median and Mean Household Income Maps

Very Low Income and Public Benefits Maps

Health Insurance

Uninsured Map

Publically Insured Map

Poverty

Housing Characteristics

Housing Affordability

## although coordinates are longitude/latitude, st_intersects assumes that they are planar
## although coordinates are longitude/latitude, st_intersects assumes that they are planar
## although coordinates are longitude/latitude, st_intersects assumes that they are planar

Vehicles per Occupied Housing Units

References

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Cheng, Joe, Bhaskar Karambelkar, and Yihui Xie. 2019. Leaflet: Create Interactive Web Maps with the Javascript ’Leaflet’ Library. https://CRAN.R-project.org/package=leaflet.

Glenn, Ezra Haber. 2019. Acs: Download, Manipulate, and Present American Community Survey and Decennial Data from the Us Census. https://CRAN.R-project.org/package=acs.

Makowski, Dominique, Lüdecke, and Daniel. 2019. “The Report Package for R: Ensuring the Use of Best Practices for Results Reporting.” CRAN. https://github.com/easystats/report.

Pebesma, Edzer. 2018. “Simple Features for R: Standardized Support for Spatial Vector Data.” The R Journal 10 (1): 439–46. https://doi.org/10.32614/RJ-2018-009.

Pedersen, Thomas Lin, and David Robinson. 2019. Gganimate: A Grammar of Animated Graphics. https://CRAN.R-project.org/package=gganimate.

Tennekes, Martijn. 2018. “tmap: Thematic Maps in R.” Journal of Statistical Software 84 (6): 1–39. https://doi.org/10.18637/jss.v084.i06.

Walker, Kyle. 2020a. Tidycensus: Load Us Census Boundary and Attribute Data as ’Tidyverse’ and ’Sf’-Ready Data Frames. https://CRAN.R-project.org/package=tidycensus.

———. 2020b. Tigris: Load Census Tiger/Line Shapefiles. https://CRAN.R-project.org/package=tigris.

Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.

Xie, Yihui, Joe Cheng, and Xianying Tan. 2019. DT: A Wrapper of the Javascript Library ’Datatables’. https://CRAN.R-project.org/package=DT.